PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Face localization in color images with complex background
Paola Campadelli, Raffaella Lanzarotti and Giuseppe Lipori
In: CAMP05, 4-6 July, 2005, Terrasini - Palermo,Italy.

Abstract

In this paper we describe a two step algorithm which localizes faces in 2D color images depicting a single face on a complex background. Given a simple image, the algorithm roughly determines the skin regions and then searches for eyes through them. A face is localized if at least one eye is present in a skin region. The system is based on a Support Vector Machine trained to separate sub-images representing eyes from others. The algorithm is robust to scale, illumination, pose variations and deals with partial occlusions. Results on several public databases are presented. Keywords:Face localization, skin color model, Support Vector Machine (SVMs).

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:764
Deposited By:Stefano Arca
Deposited On:30 December 2004